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Direct linkHaley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Hege Annette Olstad; Birgit Rognebakke Krogstie; Xiaomeng Su; Rune Hjelsvold – Computer Science Education, 2025
Background and Context: While higher education in Norway intends to ensure students can translate academic learning to real-world settings, a gap persists in computing students' perceptions of their acquired competencies. Objective: This study aims to understand the gap and explore how formative assessment with ePortfolios can help students…
Descriptors: Foreign Countries, Formative Evaluation, Computer Science Education, College Students
Download full textGina Childers; Weverton Ataide Pinheiro; Oluwatosin Daramola; C. Lindsay Linsky; Bryson Payne; Jack Byers; Daniel Baker – Journal of Cybersecurity Education, Research and Practice, 2025
Because K-12 teachers have access to private educational data, they are increasingly at risk of being affected by cybersecurity threats. Examining how teachers conceptualize cybersecurity is vital so that cybersecurity training can be tailored to teachers' understanding of cybersecurity. This study examined K-12 teachers' (n = 255) personalized…
Descriptors: Teacher Attitudes, Knowledge Level, Definitions, Computer Security
Peer reviewedRebecca Casciano – Grantee Submission, 2025
This study evaluated the implementation and impact of the School of Interactive Arts (SIA), a scalable, in-class instructional model designed to introduce high school students to computer science and video game design through a virtual platform called Ghost School. Conducted in New York City Department of Education public high schools, the study…
Descriptors: Program Implementation, Program Evaluation, Program Effectiveness, High School Students
Amanda Ross; Andrew Katz – Journal of Engineering Education, 2025
Background: Computer science faces a persistent attrition problem, with people leaving the field at a rate that exceeds new entrants. Given the increasing demand for computing jobs, it is essential to focus on reducing the number of individuals exiting the field. Purpose: This study investigates why individuals leave the computer science field…
Descriptors: Artificial Intelligence, Social Media, Computer Mediated Communication, Computer Science
Pruthikrai Mahatanankoon; James R. Wolf – Journal of Information Systems Education, 2025
Advances in information and communication technologies (ICT) coupled with artificial intelligence have made computer programming skills indispensable for IT majors and for an increasing number of other science, technology, engineering, and mathematics (STEM) disciplines. Like any hands-on skill, mastering computer programming requires dedicated…
Descriptors: Measures (Individuals), Programming, Undergraduate Students, Computer Science Education
Hüseyin Gokal; Cem Ufuk Baytar – Turkish Online Journal of Educational Technology - TOJET, 2025
This study aims to examine university students' intentions to use artificial intelligence (AI) applications in their educational processes within the context of job characteristics (JC), technology characteristics (TC), task-technology fit (TTF), and self-efficacy (SE). The research was conducted with 965 students enrolled in Information…
Descriptors: College Students, Intention, Technology Uses in Education, Artificial Intelligence
Hamlen Mansour, Karla; Jackson, Debbie K.; Bievenue, Lisa; Voight, Adam; Sridhar, Nigamanth – ACM Transactions on Computing Education, 2023
In a nationwide initiative to increase computer science Education in K-12, many teachers were recruited to CS teaching positions but without adequate preparation, which can lead to lack of confidence and feelings of isolation [35, 54]. In response to these issues, the purpose of this study was to determine the effectiveness of a newly developed…
Descriptors: Computer Science Education, Faculty Development, Peer Teaching, Elementary School Teachers
Yoonhee Shin; Jaewon Jung; Hyun Ji Lee – Metacognition and Learning, 2024
This study investigated the effects of concept-oriented faded in worked-out examples (WOE) and metacognitive scaffolding on learners' transfer performance and motivation in programming education. Two types of faded in WOE and metacognitive scaffolding were provided. A total of 140 participants were randomly assigned into one of four groups, with…
Descriptors: Metacognition, Concept Formation, Scaffolding (Teaching Technique), Learning Processes
Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam
David P. Bunde; John F. Dooley – PRIMUS, 2024
We present a detailed description of a Cryptography and Computer Security course that has been offered at Knox College for the last 15 years. While the course is roughly divided into two sections, Cryptology and Computer Security, our emphasis here is on the Cryptology section. The course puts the cryptologic material into its historical context…
Descriptors: Technology, Coding, Computer Security, Mathematics Education
Sigal Levy; Yelena Stukalin; Nili Guttmann-Beck – Teaching Statistics: An International Journal for Teachers, 2024
Probability theory has extensive applications across various domains, such as statistics, computer science, and finance. In probability education, students are introduced to fundamental principles which may include mathematical topics such as combinatorics and symmetric sample spaces. Students pursuing degrees in computer science possess a robust…
Descriptors: Programming, Probability, Mathematics Skills, Computer Science Education
David S. Bowers; Mihaela Sabin – Education and Information Technologies, 2024
The skills and competencies of IT professionals are often described using employer-led skills frameworks. They express competencies as technical knowledge and skills combined with a range of personal qualities. Employers have indicated the importance of developing such qualities for new graduates. In response, recent ACM/IEEE curricular…
Descriptors: Information Technology, Bachelors Degrees, Computer Science Education, Career Readiness
Sonia Lorente; Mónica Arnal-Palacián; Maximiliano Paredes-Velasco – European Journal of Psychology of Education, 2024
The European Higher Education Area (EHEA) proposes to enhance active learning and student protagonism in order to improve academic performance. In this sense, different methodologies are emerging to create scenarios for self-regulation of their learning. In this study the cooperative, collaborative and interdisciplinary learning methodologies were…
Descriptors: Cooperative Learning, Interdisciplinary Approach, Computer Software, Universities
